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I will build azure etl pipelines using adf databricks and pyspark
Azure Data Engineer
I am an Azure Data Engineer with nearly 3 years of experience in Azure Data Factory, Azure Databricks, PySpark, and Delta Lake. I specialize in designing and developing scalable ETL pipelines, data in...
Over deze dienst
Looking for a reliable Azure Data Engineer to build or optimize your ETL pipelines?
I can help you create scalable and efficient data solutions using Azure Data Factory (ADF), Azure Databricks, PySpark, and Azure Data Lake Storage Gen2.
Whether you need data ingestion, transformation, workflow orchestration, or an end-to-end ETL solution, I can deliver a clean and maintainable implementation tailored to your requirements.
What you'll get:
Azure Data Factory (ADF) pipeline development
Dynamic and parameterized data ingestion
Azure Databricks & PySpark transformations
ETL/ELT pipeline development
Medallion architecture implementation
Data quality validation
Pipeline orchestration and monitoring
Technical documentation
Package Overview:
Basic: Simple ADF ingestion pipeline with 1 connector
Standard: ADF + Databricks ETL solution with data quality checks and documentation
Premium: End-to-end Azure ETL solution with orchestration, transformations, and complete documentation
Technologies:
Azure Data Factory, Azure Databricks, PySpark, ADLS Gen2, Delta Lake, SQL, CSV, & JSON.
Please contact me before placing an order to discuss your requirements and select the best package.
Bestemmingsplatform:
Databricks Lakehouse
•
Overige
Tools & platforms:
Azure Data Factory
•
Overige
Mijn portfolio
Veelgestelde vragen
What data sources can you integrate?
I can work with CSV files, JSON files, SQL databases, Azure Storage, and other data sources supported by Azure Data Factory.
Do you develop Azure Data Factory (ADF) pipelines?
Yes. I design and develop dynamic, parameterized, and scalable ADF pipelines for data ingestion, orchestration, and ETL workloads.
Do you work with Azure Databricks and PySpark?
Yes. I develop Databricks notebooks and PySpark transformations for data cleansing, enrichment, and Medallion Architecture implementations.
Can you modify or optimize existing ETL pipelines?
Yes. I can troubleshoot, optimize, enhance, and maintain existing Azure Data Factory and Databricks solutions.
What information do you need before starting the project?
Please share your source system details, target destination, business requirements, transformation rules, and expected output. This helps me recommend the best solution and package.
Which package should I choose?
The Basic package is suitable for simple ADF ingestion pipelines. Standard is ideal for ADF + Databricks ETL solutions. Premium is recommended for complete end-to-end Azure ETL projects with orchestration, transformations, and documentation.
What if my requirements are not covered by your packages?
No problem. Send me your requirements, and I can recommend the best package or create a custom offer based on the project scope.
Are Azure cloud costs included in the gig price?
No. The gig price covers development and implementation services only. Any Azure subscription or cloud infrastructure costs are the client's responsibility.
Can I add more data sources or connectors?
Yes. Additional connectors can be added through Gig Extras or a custom offer based on your requirements.
Do you offer support after project delivery?
Yes. I provide post-delivery support for issues related to the delivered solution and can also assist with future enhancements.
